Research Article
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Year 2022, Volume: 5 Issue: 3, 315 - 340, 31.12.2022
https://doi.org/10.35377/saucis...1191850

Abstract

References

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The Effect of Numerical Mapping Techniques on Performance in Genomic Research

Year 2022, Volume: 5 Issue: 3, 315 - 340, 31.12.2022
https://doi.org/10.35377/saucis...1191850

Abstract

In genomic signal processing applications, digitization of these signals is needed to process and analyze DNA signals. In the digitization process, the mapping technique to be chosen greatly affects the performance of the system for the genomic domain to be studied. The purpose of this review is to analyze how numerical mapping techniques used in digitizing DNA sequences affect performance in genomic studies. For this purpose, all digital coding techniques presented in the literature in the studies conducted in the last 10 years have been examined, and the numerical representations of these techniques are given in a sample DNA sequence. In addition, the frequency of use of these coding techniques in four popular genomic areas such as exon region identification, exon-intron classification, phylogenetic analysis, gene detection, and the min-max range of the performances obtained by using these techniques in that area are also given. This study is thought to be a guide for researchers who want to work in the field of bioinformatics.

References

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There are 60 citations in total.

Details

Primary Language English
Subjects Software Engineering (Other)
Journal Section Articles
Authors

Seda Nur Gülocak 0000-0003-1849-3555

Bihter Daş 0000-0002-2498-3297

Publication Date December 31, 2022
Submission Date October 19, 2022
Acceptance Date November 1, 2022
Published in Issue Year 2022Volume: 5 Issue: 3

Cite

IEEE S. N. Gülocak and B. Daş, “The Effect of Numerical Mapping Techniques on Performance in Genomic Research”, SAUCIS, vol. 5, no. 3, pp. 315–340, 2022, doi: 10.35377/saucis...1191850.

Sakarya University Journal of Computer and Information Sciences in Applied Sciences and Engineering: An interdisciplinary journal of information science      28938